code: def test_blank(small_data, std_data):
      small_mod = ZeroMean(
          small_data, volatility=GARCH(), rescale=False
      )
      small_res = small_mod.fit(
          starting_values=np.array([1e-3, 0.05, 0.90]), disp="off"
      )
      mod = ZeroMean(std_data, volatility=GARCH(), rescale=False)
      res = mod.fit(
          starting_values=np.array([1, 0.05, 0.90]), disp="off"
      )
  
      small_param0, *_ = small_res.params
      param0, *_ = res.params
      assert_allclose(1e3 * small_param0, param0, rtol=5e-3, atol=1e9)
  
file_path: arch/arch/tests/univariate/test_rescale.py
imports: import numpy
  from numpy.testing import assert_allclose
  import pandas
  import pytest
  from arch.univariate import GARCH, Normal, ZeroMean
label_desc: Use image node_id 5 for calling a global function with example usage: test_blank(small_data, std_data) without return types